Tutorials Monday 7:10 - 8:00 p.m. in DV2080
Note: This page is under construction, and will be updated frequently throughout the term.
Office hours for the final exam
- Tuesday April 9th, 11-1 (Jerry)
- Thursday April 11th, 11-1 (Jerry)
- Monday April 15th
- 11-1 (Jerry, in DH4009)
- 3-4 (Eman)
More information about the Final Exam
- Course Outline
- Formula Sheet
- Current Formula Sheet PDF View LaTeX Download LaTeX
- Computing Resources: Information and Links, including R download.
- Assignments
- Assignment One (STA256/260 review): Quiz on Monday Jan. 14th
- Assignment Two (Maximum Likelihood Part One): Quiz on Monday Jan. 21st
- Assignment Three (Maximum Likelihood Part Two and Maximum Likelihood with R): Quiz on Monday Jan. 28th
- Assignment Four (Survival and Hazard Functions, and also some distribution theory for the Weibull and Gumbel): Quiz on Monday Feb. 4th
- Assignment Five (Censoring and Likelihood, and Maximum Likelihood with Censored Data in R): Quiz on Monday Feb. 11th
- Assignment Six (The Kaplan-Meier Estimate): Quiz on Monday Feb. 25th
- Assignment Seven (Normal Regression Review, Normal Regression with R): Quiz on Monday March 4th
- Assignment Eight (Weibull Regression, Weibull Regression with R): Quiz on Monday March 11th
- Assignment Nine (Log-normal Regression, Log-normal Regression with R): Quiz on Monday March 18th
- Assignment Ten (Proportional Hazards regression (including factorial designs and interactions), Proportional Hazards Regression with R 1 and 2): Quiz on Monday March 25th
- Assignment Eleven (More Proportional Hazards Regression, Time Dependent Covariates, Time Dependent Covariates with R): Quiz on Monday April 1st.
- Lectures
- Introduction: What the course is about
- Introduction to R
- Maximum Likelihood Part One
- Concepts
- Sample Questions
- Maximum Likelihood Part Two
- Concepts
- Sample Questions
- Maximum Likelihood with R (Also the answer to Sample Question 2)
- Survival and Hazard Functions
- Concepts
- Sample Questions
- Censoring and Likelihood
- Concepts
- Sample Questions
- Maximum Likelihood with Censored Data in R
- The Kaplan-Meier Estimate
- Concepts
- Kaplan-Meier Estimate with R
- The Weibull and Gumbel Distributions
- Normal Regression Review
- Normal Regression with R
- Weibull Regression
- Concepts
- Sample Questions
- Weibull Regression with R, Part One
- Weibull Regression with R, Part Two
- Log-Normal Regression
- Concepts
- Sample Questions
- Log-normal Regression with R
- Proportional Hazards Regression
- Concepts
- Sample Questions: Solution Scan
- Proportional Hazards Regression with R
- Interactions and factorial ANOVA (Review?)
- Proportional Hazards Regression with R, Part 2 (Interactions)
- Time Dependent Covariates
- Time Dependent Covariates with R
- Model Diagnostics
- Model Diagnostics with R
- Extensions of the proportional hazards model
- Random Effects with R
- Competing Risks
- Competing Risks with R
- Textbook and Readings
- Applied survival analysis using R by Dirk F. Moore: This is the main text in the course. It is a free download from the U of T library.
- Chapter 1 from Data analysis with SAS, a partly written textbook. This chapter gives an overview of using statistical methods to analyze data, including a non-technical description of confidence intervals, significance tests and p-values.
- Appendix A from Structural equation models: An open textbook. This is another partly written textbook project. This appendix discusses numerical maximum likelihood, and large-sample likelihood methods including Fisher information, Wald tests and likelihood ratio tests. It also contains optional reference material on expected value, matrix algebra, random vectors, the multivariate normal distribution and large-sample theory.
- Introduction to R by Venables, Smith and others. This free 100 page document is very helpful if you plan to do serious work with R.
All course materials prepared by Jerry are licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Source code is available. See the link above for more information.